accelerometry: Functions for Processing Accelerometer Data

Description Details Author(s) References

Description

A collection of functions that perform operations on time-series accelerometer data, such as identify non-wear time, flag minutes that are part of an activity bout, and find the maximum 10-minute average count value. The functions are generally very flexible, allowing for a variety of algorithms to be implemented. Most of the functions are written in C++ for efficiency.

Details

Package: accelerometry
Type: Package
Version: 3.1.2
Date: 2018-08-23
License: GPL-3

See CRAN documentation for full list of functions.

Author(s)

Dane R. Van Domelen
vandomed@gmail.com

References

Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: US Department of Health and Human Services, Centers for Disease Control and Prevention, 2003-6. Available at: https://wwwn.cdc.gov/nchs/nhanes/Default.aspx. Accessed Aug. 19, 2018.

Eddelbuettel, D. and Francois, R. (2011) Rcpp: Seamless R and C++ Integration. Journal of Statistical Software, 40(8), 1-18. http://www.jstatsoft.org/v40/i08/.

Eddelbuettel, D. (2013) Seamless R and C++ Integration with Rcpp. Springer, New York. ISBN 978-1-4614-6867-7.

Eddelbuettel, D. and Balamuta, J.J. (2017). Extending R with C++: A Brief Introduction to Rcpp. PeerJ Preprints 5:e3188v1. https://doi.org/10.7287/peerj.preprints.3188v1.

National Cancer Institute. Risk factor monitoring and methods: SAS programs for analyzing NHANES 2003-2004 accelerometer data. Available at: http://riskfactor.cancer.gov/tools/nhanes_pam. Accessed Aug. 19, 2018.

Van Domelen, D.R., Pittard, W.S. and Harris, T.B. (2018) nhanesaccel: Process accelerometer data from NHANES 2003-2006. R package version 3.1.1. https://github.com/vandomed/accelerometry.

Acknowledgment: This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-0940903.


accelerometry documentation built on May 2, 2019, 1:07 p.m.